Data Spss Analisis Faktor Hidayatullah Al Azis
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Data Spss Analisis Faktor Hidayatullah Al Azis

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Data Spss Analisis Faktor Hidayatullah Al Azis Data Spss Analisis Faktor Hidayatullah Al Azis Document Transcript

  • Analisis Faktor Disusun oleh : Hidayatullah Al-Azis (082460) Kelas III D PROGRAM STUDI PENDIDIKAN BIOLOGI FAKULTAS KEGURUAN DAN ILMU PENDIDIKAN UNIVERSITAS SULTAN AGENG TIRTAYASA 2010
  • Fackor-faktor yang mempengaruhi keinginan mempunyai Hand Phone No Gaya Hidup Kebutuhan Gengsi 1 40.00 60.00 40.00 2 50.00 60.00 35.00 3 40.00 65.00 20.00 4 40.00 75.00 25.00 5 50.00 50.00 35.00 6 50.00 70.00 40.00 7 40.00 75.00 50.00 8 60.00 55.00 45.00 9 55.00 65.00 30.00 10 50.00 75.00 35.00 11 65.00 75.00 25.00 12 60.00 50.00 20.00 13 45.00 60.00 35.00 14 50.00 60.00 30.00 15 50.00 60.00 30.00 16 55.00 50.00 45.00 17 65.00 70.00 20.00 18 65.00 75.00 20.00 19 40.00 70.00 30.00 20 45.00 50.00 40.00 21 60.00 60.00 35.00 22 65.00 65.00 45.00 23 55.00 60.00 40.00 24 50.00 70.00 30.00 25 50.00 75.00 35.00 26 55.00 60.00 30.00 27 55.00 60.00 35.00 28 60.00 70.00 40.00 29 65.00 60.00 30.00 30 40.00 60.00 25.00
  • Factor Analysis Communalities Initial Extraction Gaya Hidup 1.000 .884 Kebutuhan 1.000 .701 Gengsi 1.000 .632 Extraction Method: Principal Component Analysis. Total Variance Explained Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings Component Total % of Variance Cumulative % Total % of Variance Cumulative % Total % of Variance Cumulative % 1 1.194 39.794 39.794 1.194 39.794 39.794 1.177 39.244 39.244 2 1.023 34.103 73.897 1.023 34.103 73.897 1.040 34.653 73.897 3 .783 26.103 100.000 Extraction Method: Principal Component Analysis. Component Matrixa Component 1 2 Gaya Hidup .297 .892 Kebutuhan .692 -.471 Gengsi -.791 -.077 Extraction Method: Principal Component Analysis. a. 2 components extracted. a Rotated Component Matrix Component 1 2 Gaya Hidup .005 .940 Kebutuhan .804 -.232 Gengsi -.728 -.320 Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. a. Rotation converged in 3 iterations. View slide
  • Component Transformation Matrix Component 1 2 1 .950 .311 2 -.311 .950 Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. View slide